De-hazing and enhancement method for underwater and low-light images

被引:0
|
作者
Ke Liu
Xujian Li
机构
[1] Shandong University of Science and Technology,College of Computer Science and Engineering
来源
Multimedia Tools and Applications | 2021年 / 80卷
关键词
Edge detail preservation; Guided filtering; Underwater image; Image de-hazing; Image enhancement;
D O I
暂无
中图分类号
学科分类号
摘要
Because underwater and low-light images have different characteristics, there are few methods to jointly improve the visibility of these images. This paper proposes a de-hazing and enhancement method for underwater and low-light images to describe the two types of images uniformly. Multi-scale retinex color recovery (MSRCR) and guided filtering methods are used for de-hazing; the proposed method of white balance fusion global guided image filtering (G-GIF), effectively solve the problems of dim light, color distortion, and loss of edge details. Experiments show that compared with other methods, this method can effectively solve the image exposure, and at the same time, it can better protect and enhance the image’s color saturation and edge texture details, thus achieving a very good visual effect.
引用
收藏
页码:19421 / 19439
页数:18
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